Sql For Data Science + Data Analytics + Data Visualization

With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems!

What you'll learn
Get a job as a junior Data Analytics developer
Advanced SQL statements
Use Azure Data Studio to perform data analysis
Be comfortable putting SQL and Microsoft SQL on their resume
Learn to perform GROUP BY statements
Replicate real-world situations and query reports
Complete Visualization Charts with SandDance extension
Complete basic SELECT statements querying against a single table
Filter data using the WHERE clause to identify required data
Apply SQL for DataScience
Using JOINS, return data from multiple tables in the same query
Complete Analysis statements that use aggregate functions
Import Flat, .CSV, Excel to SQL Database
Performing Secure Backup and Restore Full SQL Database
Requirements
No prior technical experience is required! All you need a computer!
No SQL experience needed. You will learn everything you need to know
No software is required in advance of the course (all software used in the course is free)
Description
Learn how to use SQL for Data Science quickly and effectively with this course!At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why:You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more.Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!The course is taught by the lead instructor having 20+ years of professional experience.We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer.In this course you will learn everything you need to become a SQL Data Science Pro! Including:    Get started with Microsoft SQL Server, SQL Server Management Studio, and Azure Data Studio these are the world's most popular SQL tools    Learn the basics of SQL syntax    Analyzing data using aggregate functions with GROUP BY commands    Running advanced queries with string operations and comparison operations    Learn to use logical operators to add logic flow to your SQL queries    Azure Data Studio to Connect SQL Server Instance    Learn common SQL JOIN statements    Learn to create tables and databases with constraints on data entries    Learn to use Python to further advanced your SQL Data Science skills    Learn to apply Flat file transaction data to import to SQL    Import and Export .CSV or Excel files in to SQL Database    Learn How to take Secure backup & restore database.    Learn to write SELECT statements    Learn to Create SQL scripts    Applying Primary Key and Foreign Keys    Creating Views and Accessing View Data    Writing Stored Procedures for re-use SQL scripts    Dynamic SQL queries and Aggregate Functions    Subqueries to make complex queries    Azure Sand Dance Extension to Create Data Visualization    Creating Different Charts on required Business reports    Learn to Write Case Statements for Decision Making Queries    Apply Real world Data queries for Data Analytics and Data type    SELECT on Query Calculations for Discount and Non Discount SALEs    and much more!This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations.I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!Check out the free preview videos for more information!By the end of this course, you will be fluently programming and be ready to make any application you can dream of.    Sign up today, and look forward to:    HD Video Lectures    SQL Query Challenges and SQL Query Exercises    Beautiful Real-World dynamic ProjectsABOUT YOUR INSTRUCTORSekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.What are you waiting join now to start learning how to make your own SQL Basic Data Science Career TODAY :)

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How to get course requirements

Lecture 3 Getting started on Windows, Linux or Docker

Lecture 4 How to ask great questions

Lecture 5 FAQ’s

Section 2: SQL Server setting up

Lecture 6 Section Introduction

Lecture 7 Microsoft SQL Server Installation

Lecture 8 SQL Server Management Studio (SSMS) Installation

Lecture 9 How to connect MS SQL (Windows Authentication)

Lecture 10 How to connect MS SQL (Windows Authentication)

Lecture 11 Download and Restore Sample Database

Section 3: SQL Azure Data Studio

Lecture 12 What is Azure Data Studio

Lecture 13 Azure Data Studio Installation steps

Lecture 14 Azure Data Studio to Connect SQL Server

Lecture 15 Create a Database

Lecture 16 Create a Table

Lecture 17 Insert Data rows

Lecture 18 View the Data returned by Query

Section 4: SQL Database basic SSMS

Lecture 19 Section Introduction

Lecture 20 Overview of Databases

Lecture 21 Creating Database

Lecture 22 SQL Data Types

Lecture 23 Column Data Types on SSMS

Lecture 24 Creating Table

Lecture 25 Overview of Primary Key and Foreign Key

Lecture 26 Primary Key

Lecture 27 Foreign Key

Lecture 28 Creating Temporary tables

Section 5: SQL Statements for DATA

Lecture 29 Section Introduction

Lecture 30 Insert statement

Lecture 31 Update statement

Lecture 32 Delete statement

Section 6: SQL Data Structure statements

Lecture 33 Section Introduction

Lecture 34 CREATE table statement

Lecture 35 DROP statement

Lecture 36 ALTER statement

Lecture 37 TRUNCATE statement

Lecture 38 COMMENT in query

Lecture 39 RENAME

Section 7: SQL User Management

Lecture 40 Create Database user

Lecture 41 GRANT permissions

Lecture 42 REVOKE permissions

Section 8: SQL Statement Basic

Lecture 43 Section Introduction

Lecture 44 SQL Statement basic

Lecture 45 SELECT Statement

Lecture 46 SELECT DISTINCT

Lecture 47 SELECT with column headings

Lecture 48 Column AS statement

Section 9: Filtering Data rows

Lecture 49 SELECT WHERE Clause – theory

Lecture 50 SELECT WHERE Clause – practical

Section 10: Aggregate functions

Lecture 51 Sum()

Lecture 52 Min()-Max()

Section 11: SQL Query statements

Lecture 53 Order By statement

Lecture 54 SELECT TOP clause in SQL

Lecture 55 BETWEEN command

Lecture 56 IN operator

Lecture 57 Wildcard Characters and LIKE

Section 12: SQL Group by statement

Lecture 58 Section Introduction

Lecture 59 Group by – theory

Lecture 60 Group by – practical

Lecture 61 HAVING statement

Section 13: JOINS for Multiple table Data Analysis

Lecture 62 Overview of Joins

Lecture 63 What are Joins

Lecture 64 Inner join

Lecture 65 Left outer join

Lecture 66 Right outer join

Lecture 67 Full outer join

Lecture 68 Union

Lecture 69 Cartesian Product with the Cross Join

Lecture 70 Query Exercise

Lecture 71 Solution for Query Exercise

Section 14: SQL Constraints

Lecture 72 Section introduction

Lecture 73 Check constraint

Lecture 74 NOT NULL constraint

Lecture 75 UNIQUE constraint

Section 15: Views

Lecture 76 Creating Views

Lecture 77 Reporting with multiple tables

Section 16: Advanced SQL commands

Lecture 78 Section Introduction

Lecture 79 Timestamp

Lecture 80 Extract from timestamp

Lecture 81 Mathematical scalar functions

Lecture 82 Mathematical scalar functions

Lecture 83 SubQuery

Lecture 84 SELECT with calculations

Section 17: SQL Stored procedures

Lecture 85 Create stored procedure

Lecture 86 Stored procedure with parameter

Section 18: Azure Data Studio Visualization

Lecture 87 Installing SandDance Extension

Lecture 88 Visualization Charts

Lecture 89 Multiple Table Data Charts

Section 19: Azure Studio SQL for Data Analysis

Lecture 90 Type Decision for Data Analysis

Lecture 91 Data Analysis with Case Statement and String Text

Section 20: Import & Export data

Lecture 92 Section Introduction

Lecture 93 Import Flat File

Lecture 94 Import .csv or excel file

Lecture 95 Export Data to Excel or any format

Section 21: Backup and Restore Database

Lecture 96 Section Introduction

Lecture 97 Creating Database backup

Lecture 98 Restoring Database backup

Beginner SQL, Data Analytics, Data Science and Visualization - developers curious about SQL Career,Anyone who wants to generate new income streams,Anyone who works with data analytics, charts, or databases!,Anyone who wants to become financially independent,Anyone who wants to start their own business or become freelance,Anyone who wants to become a Data Science developer,If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures!